Us Bancorp (USB) Amortizatization of Intangibles (2010 - 2026)
Us Bancorp's Amortizatization of Intangibles came in at $114 million for Q2 2026, down 8.1% from $124 million a year earlier but up 3.6% from the prior quarter.
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Analysis
Us Bancorp (USB) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Us Bancorp reported Amortizatization of Intangibles of $475 million, down 10.0% year-over-year; for FY2025, it came in at $498 million, down 12.5% from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $569 million in FY2024 (-10.5%), $636 million in FY2023 (+195.8%), $215 million in FY2022 (+35.2%) and $159 million in FY2021 (-9.7%).
- The five-year range for quarterly Amortizatization of Intangibles is $40 million (Q4 2021) to $161 million (Q3 2023).
- Year-over-year, Amortizatization of Intangibles has declined for ten consecutive quarters, with an average decline of 11.4% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q2 2023 (growth of 297.5%), and the weakest in Q1 2025 (a decline of 15.8%).
- Business Quant data shows USB's Amortizatization of Intangibles at $110 million (Q1 2026), $126 million (Q4 2025) and $125 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Us Bancorp | 89.59 Bn | 90.05 Bn | - | 114.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.00 Mn |
| Mar 31, 2026 | 110.00 Mn |
| Dec 31, 2025 | 126.00 Mn |
| Sep 30, 2025 | 125.00 Mn |
| Jun 30, 2025 | 124.00 Mn |
| Mar 31, 2025 | 123.00 Mn |
| Dec 31, 2024 | 139.00 Mn |
| Sep 30, 2024 | 142.00 Mn |
| Jun 30, 2024 | 142.00 Mn |
| Mar 31, 2024 | 146.00 Mn |
| Dec 31, 2023 | 156.00 Mn |
| Sep 30, 2023 | 161.00 Mn |
| Jun 30, 2023 | 159.00 Mn |
| Mar 31, 2023 | 160.00 Mn |
| Dec 31, 2022 | 85.00 Mn |
| Sep 30, 2022 | 43.00 Mn |
| Jun 30, 2022 | 40.00 Mn |
| Mar 31, 2022 | 47.00 Mn |
| Dec 31, 2021 | 40.00 Mn |
| Sep 30, 2021 | 41.00 Mn |
API Access
Us Bancorp Amortizatization of Intangibles API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "USB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();